def save_to_gif():
images = []
for i in range(num_images):
images.append(imageio.imread('images/' + str(i) + '.png'))
imageio.mimsave('sim.gif', images)
# Save to gfycat
client = GfycatClient()
try:
print client.upload_from_file('sim.gif')
except GfycatClientError as e:
print(e.error_message)
print(e.status_code)
def _upload_gif(self,file_url):
client = GfycatClient()
print "uploading file to Gfycat"
result = client.upload_from_file(file_url)
name = result['gfyName']
url = "https://gfycat.com/{0}".format(name)
return name, url
def process_gif(submission):
sub = submission.subreddit.display_name
url = submission.url
title = submission.title
author = submission.author.name
# If its a gifv and hosted on imgur, we're ok, anywhere else I cant verify it works
if 'imgur' in url and url.endswith("gifv"):
# imgur will give us a (however large) gif if we ask for it
# thanks imgur <3
url = url.rstrip('v')
# Reddit Hosted gifs are going to be absolute hell, served via DASH which
# Can be checked through a fallback url :)
try:
response = requests.get(url)
# except OSError as error:
# logging.warning('Converting to image failed, trying with <url>.jpg | %s', error)
# try:
# response = requests.get(url + '.jpg')
# img = Image.open(BytesIO(response.content))
# except OSError as error:
# logging.error('Converting to image failed, skipping submission | %s', error)
#return
except IOError as error:
print('Pillow couldn\'t process image, marking as parsed and skipping')
return None
except Exception as error:
print(error)
print('Exception on image conversion lines.')
return None
except:
logging.error("Could not get image from url")
return None
img = Image.open(BytesIO(response.content))
frames = []
# Process Gif
# Loop over each frame in the animated image
for frame in ImageSequence.Iterator(img):
# Draw the text on the frame
# We'll create a custom RedditImage for each frame to avoid
# redundant code
# TODO: Consolidate this entire method into RedditImage. I want to make
# Sure this works before I integrate.
rFrame = RedditImage(frame)
rFrame.add_title(title, False)
frame = rFrame._image
# However, 'frame' is still the animated image with many frames
# It has simply been seeked to a later frame
# For our list of frames, we only want the current frame
# Saving the image without 'save_all' will turn it into a single frame image, and we can then re-open it
# To be efficient, we will save it to a stream, rather than to file
b = BytesIO()
frame.save(b, format="GIF")
frame = Image.open(b)
# The first successful image generation was 150MB, so lets see what all
# Can be done to not have that happen
# Then append the single frame image to a list of frames
frames.append(frame)
# Save the frames as a new image
path_gif = 'temp.gif'
path_mp4 = 'temp.mp4'
frames[0].save(path_gif, save_all=True, append_images=frames[1:])
# ff = ffmpy.FFmpeg(inputs={path_gif: None},outputs={path_mp4: None})
# ff.run()
imgur = catutils.get_imgur_client_config()
# try:
client = GfycatClient()
response = client.upload_from_file(path_gif)
# except:
# logging.error('Gif Upload Failed, Returning')
# return None
remove(path_gif)
return response.get("gifUrl")
